{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 79,
      "metadata": {},
      "outputs": [],
      "source": [
        "import pickle\n",
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "from collections import Counter\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "domain_names = {\n",
        "    'github': 'GitHub',\n",
        "    'arxiv': 'arXiv',\n",
        "    'c4': 'C4',\n",
        "    'book': 'Books',\n",
        "    'wikipedia': 'Wikipedia',\n",
        "}\n",
        "\n",
        "def load_data(input_path):\n",
        "    with open(input_path, 'rb') as f:\n",
        "        data = pickle.load(f)\n",
        "    return data\n",
        "\n",
        "def load_data_for_model(model):\n",
        "    df = []\n",
        "    for domain in domain_names.keys():\n",
        "        input_path = f\"routing_output/{model}/expert_counts_top1/{domain}.pkl\"\n",
        "        layer0, layer7, layer15 = load_data(input_path)\n",
        "        counters = {\n",
        "            0: layer0,\n",
        "            7: layer7,\n",
        "            15: layer15,\n",
        "        }\n",
        "        for i in [0, 7, 15]:\n",
        "            total_count = sum(counters[i].values())\n",
        "            for j, v in counters[i].items():\n",
        "                df.append({\n",
        "                    'Domain': domain_names[domain],\n",
        "                    'Layer': i,\n",
        "                    'Expert': j,\n",
        "                    'Proportion': v / total_count * 100,\n",
        "                })\n",
        "    df = pd.DataFrame(df)\n",
        "    return df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 83,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<Figure size 1280x880 with 0 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": "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",
            "text/plain": [
              "<Figure size 2426.75x1250 with 15 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "df = load_data_for_model('mistral')\n",
        "num_experts = df.Expert.nunique()\n",
        "k = 1\n",
        "df['Proportion'] *= k\n",
        "uniform_proportion = 1 / num_experts * k * 100\n",
        "\n",
        "plt.style.use('seaborn-v0_8-poster')\n",
        "plt.style.use('seaborn-v0_8-darkgrid')\n",
        "sns.set_style(\"white\")\n",
        "\n",
        "sns.despine()\n",
        "\n",
        "COLORS = {\n",
        "    'GitHub': '#F0539B',\n",
        "    'arXiv': '#43C5E0',\n",
        "    'Wikipedia': '#B11BE8',\n",
        "    'Books': '#FDBE15',\n",
        "    'C4': '#2E3168',\n",
        "}\n",
        "\n",
        "FONTSIZE=35\n",
        "LABEL_FREQ = 2\n",
        "TICK_FREQ = 1\n",
        "PADDING = num_experts * 1.0\n",
        "PADDING2 = num_experts * 0.07\n",
        "\n",
        "g = sns.catplot(data=df, x='Expert', y='Proportion', row='Domain', hue=\"Domain\", col=\"Layer\", kind='bar',\n",
        "                order=range(num_experts),\n",
        "                row_order=COLORS.keys(), hue_order=COLORS.keys(), palette=COLORS.values(),\n",
        "                aspect=3, height=2.5, gap=0.0, linewidth=0.5, width=1.0, margin_titles=True, sharex=False, saturation=0.9)\n",
        "\n",
        "\n",
        "labels = sum(([i]+[\"\"]*(LABEL_FREQ - 1) for i in range(0, num_experts, LABEL_FREQ)), [])\n",
        "g.set_xticklabels(labels)\n",
        "\n",
        "for rows in g.axes:\n",
        "    for ax in rows:\n",
        "        ax.axhline(y=uniform_proportion, color='grey', linestyle='--' , linewidth=3.9, alpha=0.7)\n",
        "        ax.grid(True, axis='y', linestyle='-', color='#FFE5B4', linewidth=2.5, alpha=0.7)\n",
        "        ax.tick_params(axis='x', which='major', length=4, width=1, color='black', direction='out', reset=True, bottom=True, top=False, labelsize=FONTSIZE)\n",
        "        ax.tick_params(axis='y', which='major', labelsize=FONTSIZE)\n",
        "\n",
        "        ticks = ax.get_xticks()\n",
        "        ticks = [t for t in ticks if t % TICK_FREQ == 0]\n",
        "        ax.set_xticks(ticks)\n",
        "        ax.set_ylim(0, 100)\n",
        "\n",
        "    # Create a bit of padding\n",
        "    ax = rows[0]\n",
        "    ax.set_xlim(ax.get_xlim()[0]-PADDING/2, ax.get_xlim()[1]+PADDING/2 + PADDING2)\n",
        "    ax = rows[1]\n",
        "    ax.set_xlim(ax.get_xlim()[0]-PADDING/2 - PADDING2/2, ax.get_xlim()[1]+PADDING/2 + PADDING2/2)\n",
        "    ax = rows[2]\n",
        "    ax.set_xlim(ax.get_xlim()[0]-PADDING/2 - PADDING2, ax.get_xlim()[1]+PADDING/2)\n",
        "\n",
        "# Remove ticks for all but the bottom row\n",
        "for rows in g.axes[:-1]:\n",
        "    for ax in rows:\n",
        "        ax.set_xticklabels([])\n",
        "\n",
        "g.set_ylabels(\"\")\n",
        "g.set_xlabels(\"\")\n",
        "plt.subplots_adjust(hspace=0.6, wspace=0.0)\n",
        "g.figure.supylabel('Domain specialization (%)', fontsize=FONTSIZE, fontweight='bold', x=-0.025, y=0.55)\n",
        "g.figure.supxlabel('Expert ID', fontsize=FONTSIZE, fontweight='bold', y=-0.03, x=0.46)\n",
        "\n",
        "g.set_titles(row_template=\"\", col_template=\"Layer {col_name}\", size=FONTSIZE, fontweight=\"bold\")\n",
        "g.legend.set_title(\"\")\n",
        "g.legend.set_visible(False)\n",
        "\n",
        "plt.savefig('routing_mixtral_v2_top1.pdf', bbox_inches='tight')\n",
        "plt.savefig('routing_mixtral_v2_top1.jpg', bbox_inches='tight')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 82,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "text/plain": [
              "64"
            ]
          },
          "execution_count": 82,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "num_experts"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 99,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<Figure size 1280x880 with 0 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": "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",
            "text/plain": [
              "<Figure size 2426.75x1500 with 15 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "df = load_data_for_model('olmoe')\n",
        "num_experts = df.Expert.nunique()\n",
        "k = 1\n",
        "df['Proportion'] *= k\n",
        "uniform_proportion = 1 / num_experts * k * 100\n",
        "\n",
        "plt.style.use('seaborn-v0_8-poster')\n",
        "plt.style.use('seaborn-v0_8-darkgrid')\n",
        "sns.set_style(\"white\")\n",
        "\n",
        "sns.despine()\n",
        "\n",
        "COLORS = {\n",
        "    'GitHub': '#F0539B',\n",
        "    'arXiv': '#43C5E0',\n",
        "    'Wikipedia': '#B11BE8',\n",
        "    'Books': '#FDBE15',\n",
        "    'C4': '#2E3168',\n",
        "}\n",
        "\n",
        "FONTSIZE=35\n",
        "LABEL_FREQ = 8\n",
        "TICK_FREQ = 4\n",
        "PADDING = num_experts * 0.07\n",
        "\n",
        "g = sns.catplot(data=df, x='Expert', y='Proportion', row='Domain', hue=\"Domain\", col=\"Layer\", kind='bar',\n",
        "                order=range(num_experts),\n",
        "                row_order=COLORS.keys(), hue_order=COLORS.keys(), palette=COLORS.values(),\n",
        "                aspect=2.5, height=3, gap=0.0, linewidth=0.0, width=1.0, margin_titles=True, sharex=False, saturation=0.9)\n",
        "\n",
        "\n",
        "labels = sum(([i]+[\"\"]*(LABEL_FREQ - 1) for i in range(0, num_experts, LABEL_FREQ)), [])\n",
        "g.set_xticklabels(labels)\n",
        "\n",
        "for rows in g.axes:\n",
        "    for ax in rows:\n",
        "        ax.axhline(y=uniform_proportion, color='grey', linestyle=\"--\", linewidth=1.95, alpha=0.7)\n",
        "        ax.grid(True, axis='y', linestyle='-', color='#FFE5B4', linewidth=2, alpha=0.7)\n",
        "        ax.tick_params(axis='x', which='major', length=7, width=1, color='black', direction='out', reset=True, bottom=True, top=False, labelsize=FONTSIZE)\n",
        "        ax.tick_params(axis='x', which='minor', length=2, width=1, color='black', direction='out', reset=True, bottom=True, top=False, labelsize=FONTSIZE)\n",
        "        ax.tick_params(axis='y', which='major', labelsize=FONTSIZE)\n",
        "\n",
        "        ticks = ax.get_xticks()\n",
        "        ticks = [t for t in ticks if t % TICK_FREQ == 0]\n",
        "        ax.set_xticks(ticks)\n",
        "        # set minor ticks to every 1\n",
        "        ax.set_xticks(np.arange(0, num_experts, 1), minor=True)\n",
        "\n",
        "    # Create a bit of padding\n",
        "    ax = rows[0]\n",
        "    ax.set_xlim(ax.get_xlim()[0], ax.get_xlim()[1]+PADDING)\n",
        "    ax = rows[1]\n",
        "    ax.set_xlim(ax.get_xlim()[0]-PADDING/2, ax.get_xlim()[1]+PADDING/2)\n",
        "    ax = rows[2]\n",
        "    ax.set_xlim(ax.get_xlim()[0]-PADDING, ax.get_xlim()[1])\n",
        "\n",
        "# Remove ticks for all but the bottom row\n",
        "for rows in g.axes[:-1]:\n",
        "    for ax in rows:\n",
        "        ax.set_xticklabels([])\n",
        "\n",
        "g.set_ylabels(\"\")\n",
        "g.set_xlabels(\"\")\n",
        "plt.subplots_adjust(hspace=0.6, wspace=0.0)\n",
        "g.figure.supylabel('Domain specialization (%)', fontsize=FONTSIZE, fontweight='bold', x=-0.025)\n",
        "g.figure.supxlabel('Expert ID', fontsize=FONTSIZE, fontweight='bold', y=-0.035, x=0.46)\n",
        "\n",
        "g.set_titles(row_template=\"\", col_template=\"Layer {col_name}\", size=FONTSIZE, fontweight=\"bold\")\n",
        "g.legend.set_title(\"\")\n",
        "sns.move_legend(g, \"upper center\", bbox_to_anchor=(0.45, 1.12), ncol=5, fontsize=FONTSIZE)\n",
        "\n",
        "plt.savefig('routing_olmoe_v2_top1.pdf', bbox_inches='tight')\n",
        "plt.savefig('routing_olmoe_v2_top1.jpg', bbox_inches='tight')"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "base",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.9.0"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}
